Literature DB >> 17628636

Evaluation of potential health risk of arsenic-affected groundwater using indicator kriging and dose response model.

Jin-Jing Lee1, Cheng-Shin Jang, Sheng-Wei Wang, Chen-Wuing Liu.   

Abstract

This study analyzed the potential health risk associated with the ingestion of arsenic-affected groundwater in the arseniasis-endemic Lanyang plain of northeastern Taiwan. Indicator kriging was used to estimate arsenic concentrations in groundwater. Target cancer risk (TR) and dose response functions were adopted to evaluate the potential health risk based on the estimated arsenic concentration distributions. The estimated arsenic concentrations in groundwater reveal that arsenic concentrations (>50 microg/L) in well water are high in six townships - JiaoSi, YiLan, JhungWei, WuJie, DonShan and LouDon. Highest arsenic concentrations (70.32 microg/L) are in the YiLan and the JhungWei townships. The estimated TR values at the arsenic-affected townships are ten times more than an acceptable standard (10(-6)). The largest TR values are 145.5 and 91.2 times higher than an acceptable standard for males and females, respectively. The estimated annual mortalities by arsenic-induced internal cancers occur in the YiLan township (ten cases), LouDon (five cases), WuJie (three cases), JhungWei (two cases) and DonShan (one case). The highest number of mortalities per year in the study area is 24. Residents of the six townships with high arsenic-affected groundwater should use tap water as drinking water and use groundwater only for other purpose. The well water in other townships in the Lanyang plain has no adverse effects on human health.

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Year:  2007        PMID: 17628636     DOI: 10.1016/j.scitotenv.2007.06.021

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  14 in total

1.  Indicator and probability kriging methods for delineating Cu, Fe, and Mn contamination in groundwater of Najafgarh Block, Delhi, India.

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2.  Comparison of interpolation methods for the estimation of groundwater contamination in Andimeshk-Shush Plain, Southwest of Iran.

Authors:  Rouhollah Mirzaei; Mohamad Sakizadeh
Journal:  Environ Sci Pollut Res Int       Date:  2015-10-07       Impact factor: 4.223

3.  Health risk assessment of groundwater arsenic pollution in southern Taiwan.

Authors:  Ching-Ping Liang; Sheng-Wei Wang; Yu-Hsuan Kao; Jui-Sheng Chen
Journal:  Environ Geochem Health       Date:  2016-01-27       Impact factor: 4.609

4.  Analysis of field-scale spatial correlations and variations of soil nutrients using geostatistics.

Authors:  Ruimin Liu; Fei Xu; Wenwen Yu; Jianhan Shi; Peipei Zhang; Zhenyao Shen
Journal:  Environ Monit Assess       Date:  2016-01-29       Impact factor: 2.513

5.  A comparison of multiple indicator kriging and area-to-point Poisson kriging for mapping patterns of herbivore species abundance in Kruger National Park, South Africa.

Authors:  Ruth Kerry; Pierre Goovaerts; Izak P J Smit; Ben R Ingram
Journal:  Int J Geogr Inf Sci       Date:  2013       Impact factor: 4.186

6.  Spatial dynamic assessment of health risks for urban river cruises.

Authors:  Cheng-Shin Jang; Ching-Ping Liang; Shih-Kai Chen
Journal:  Environ Monit Assess       Date:  2018-12-01       Impact factor: 2.513

7.  Assessment of groundwater pollution in West Delhi, India using geostatistical approach.

Authors:  Partha Pratim Adhikary; H Chandrasekharan; Debashis Chakraborty; Kalpana Kamble
Journal:  Environ Monit Assess       Date:  2009-07-24       Impact factor: 2.513

8.  Spatial variability of groundwater depth and quality parameters in the National Capital Territory of Delhi.

Authors:  J P Dash; A Sarangi; D K Singh
Journal:  Environ Manage       Date:  2010-02-04       Impact factor: 3.266

Review 9.  Rice yield estimation based on forecasting the future condition of groundwater salinity in the Caspian coastal strip of Guilan Province, Iran.

Authors:  Hedyeh Pouryazdankhah; Ali Shahnazari; Mirkhalegh Z Ahmadi; Mohammadreza Khaledian; Mathias N Andersen
Journal:  Environ Monit Assess       Date:  2019-07-12       Impact factor: 2.513

10.  Potential health risk assessment through ingestion and dermal contact arsenic-contaminated groundwater in Jianghan Plain, China.

Authors:  Ran Li; Yi-Ming Kuo; Wen-Wen Liu; Cheng-Shin Jang; Enmin Zhao; Liquan Yao
Journal:  Environ Geochem Health       Date:  2018-02-01       Impact factor: 4.609

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